1
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Park JS, Pisanic T, Zhang Y, Wang TH. Ligation-Enabled Fluorescence-Coding PCR for High-Dimensional Fluorescence-Based Nucleic Acid Detection. Anal Chem 2021; 93:2351-2358. [PMID: 33427441 DOI: 10.1021/acs.analchem.0c04221] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Polymerase chain reaction (PCR) is by far the most commonly used method of nucleic acid amplification and has likewise been employed for a plethora of diagnostic purposes. Nonetheless, multiplexed PCR-based detection schemes have hitherto been largely limited by technical challenges associated with nonspecific interactions and other limitations inherent to traditional fluorescence-based assays. Here, we describe a novel strategy for multiplexed PCR-based analysis called Ligation-eNabled fluorescence-Coding PCR (LiNC PCR) that exponentially enhances the multiplexing capability of standard fluorescence-based PCR assays. The technique relies upon a simple, preliminary ligation reaction in which target DNA sequences are converted to PCR template molecules with distinct endpoint fluorescence signatures. Universal TaqMan probes are used to create target-specific multicolor fluorescence signals that can be readily decoded to identify amplified targets of interest. We demonstrate the LiNC PCR technique by implementing a two-color-based assay for detection of 10 ovarian cancer epigenetic biomarkers at analytical sensitivities as low as 60 template molecules with no detectable target cross-talk. Overall, LiNC PCR provides a simple and inexpensive method for achieving high-dimensional multiplexing that can be implemented in manifold molecular diagnostic applications.
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Affiliation(s)
- Joon Soo Park
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Thomas Pisanic
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Ye Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.,Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States.,Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
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2
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Alhogail S, Suaifan GA, Bikker FJ, Kaman WE, Weber K, Cialla-May D, Popp J, Zourob MM. Rapid Colorimetric Detection of Pseudomonas aeruginosa in Clinical Isolates Using a Magnetic Nanoparticle Biosensor. ACS OMEGA 2019; 4:21684-21688. [PMID: 31891046 PMCID: PMC6933554 DOI: 10.1021/acsomega.9b02080] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 11/08/2019] [Indexed: 05/21/2023]
Abstract
A rapid, sensitive, and specific colorimetric biosensor based on the use of magnetic nanoparticles (MNPs) was designed for the detection of Pseudomonas aeruginosa in clinical samples. The biosensing platform was based on the measurement of P. aeruginosa proteolytic activity using a specific protease substrate. At the N-terminus, this substrate was covalently bound to MNPs and was linked to a gold sensor surface via cystine at the C-terminus of the substrates. The golden sensor appears black to naked eyes because of the coverage of the MNPs. However, upon proteolysis, the cleaved peptide-MNP moieties will be attracted by an external magnet, revealing the golden color of the sensor surface, which can be observed by the naked eye. In vitro, the biosensor was able to detect specifically and quantitatively the presence of P. aeruginosa with a detection limit of 102 cfu/mL in less than 1 min. The colorimetric biosensor was used to test its ability to detect in situ P. aeruginosa in clinical isolates from patients. This biochip is anticipated to be useful as a rapid point-of-care device for the diagnosis of P. aeruginosa-related infections.
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Affiliation(s)
- Sahar Alhogail
- Department
of Clinical Laboratory Science, King Saud
University, Ad Diriyah District, 11433 Riyadh, Kingdom of Saudi
Arabia
- Department
of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al
Takhassusi Road, 11533 Riyadh, Saudi Arabia
| | - Ghadeer A.R.Y. Suaifan
- Department
of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, 11942 Amman, Jordan
| | - Floris J. Bikker
- Department
of Oral Biochemistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
| | - Wendy E. Kaman
- Department
of Oral Biochemistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
- Department
of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Wytemaweg 80, 3015 CE Rotterdam, The Netherlands
| | - Karina Weber
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics
Research Campus Jena, Center for Applied
Research, Philosophenweg
7, 07743 Jena, Germany
- Leibniz
Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Dana Cialla-May
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics
Research Campus Jena, Center for Applied
Research, Philosophenweg
7, 07743 Jena, Germany
- Leibniz
Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Jürgen Popp
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics
Research Campus Jena, Center for Applied
Research, Philosophenweg
7, 07743 Jena, Germany
- Leibniz
Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Mohammed M. Zourob
- Department
of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al
Takhassusi Road, 11533 Riyadh, Saudi Arabia
- King
Faisal Specialist Hospital and Research Center, Zahrawi Street, Al Maather, Riyadh 12713, Saudi Arabia
- E-mail:
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3
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Marras SAE, Tyagi S, Antson DO, Kramer FR. Color-coded molecular beacons for multiplex PCR screening assays. PLoS One 2019; 14:e0213906. [PMID: 30883590 PMCID: PMC6422326 DOI: 10.1371/journal.pone.0213906] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 03/04/2019] [Indexed: 11/19/2022] Open
Abstract
The number of different fluorescent colors that can be distinguished in a PCR screening assay restricts the number of different targets that can be detected. If only six colors can be distinguished, and the probe for each target is labeled with a unique color, then only six different targets can be identified. Yet, it is often desirable to identify more targets. For instance, the rapid identification of which bacterial species (if any) is present in a patient's normally sterile blood sample, out of a long list of species, would enable appropriate actions to be taken to prevent sepsis. We realized that the number of different targets that can be identified in a screening assay can be increased significantly by utilizing a unique combination of two colors for the identification of each target species. We prepared a demonstration assay in which 15 different molecular beacon probe pairs were present, each pair specific for the same identifying sequence in the 16S ribosomal RNA gene of a different bacterial species, and each pair labeled with a unique combination of two fluorophores out of the six differently colored fluorophores that our PCR instrument could distinguish. In a set of PCR assays, each containing all 30 color-coded molecular beacons, and each containing DNA from a different bacterial species, the only two colors that arose in each real-time assay identified the species-specific target sequence that was present. Due to the intrinsic low background of molecular beacon probes, these reactions were specific and extremely sensitive, and the threshold cycle reflected the abundance of the target sequence present in each sample.
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Affiliation(s)
- Salvatore A. E. Marras
- Public Health Research Institute, Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States of America
| | - Sanjay Tyagi
- Public Health Research Institute, Department of Medicine, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States of America
| | - Dan-Oscar Antson
- Center for Technology Licensing, Weill Cornell Medical Center, Cornell University, New York, New York, United States of America
| | - Fred Russell Kramer
- Public Health Research Institute, Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States of America
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4
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Abstract
Barcoded bioassays are ready to promote bioanalysis and biomedicine toward the point of care.
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Affiliation(s)
- Mingzhu Yang
- Beijing Engineering Research Center for BioNanotechnology
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety
- CAS Center for Excellence in Nanoscience
- National Center for NanoScience and Technology
- Beijing
| | - Yong Liu
- Beijing Engineering Research Center for BioNanotechnology
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety
- CAS Center for Excellence in Nanoscience
- National Center for NanoScience and Technology
- Beijing
| | - Xingyu Jiang
- Beijing Engineering Research Center for BioNanotechnology
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety
- CAS Center for Excellence in Nanoscience
- National Center for NanoScience and Technology
- Beijing
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5
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Zhang Y, Chen L, Hsieh K, Wang TH. Ratiometric Fluorescence Coding for Multiplex Nucleic Acid Amplification Testing. Anal Chem 2018; 90:12180-12186. [PMID: 30251853 DOI: 10.1021/acs.analchem.8b03266] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Although nucleic acid amplification testing (NAAT) has become the cornerstone for molecular diagnosis of diseases, expanding the multiplexed detection capacity of NAAT remains an important objective. To this end, encoding each nucleic acid target with a specific fluorescently labeled probe has been the most mature approach for multiplexed detection. Unfortunately, the number of targets that can be differentiated via this one-target-one-fluorophore multiplexed detection approach is restricted by spectral overlaps between fluorophores. In response, we present herein a new multiplexed detection approach termed ratiometric fluorescence coding, in which we encode each nucleic acid target with a specific ratio between two standard fluorophores. In ratiometric fluorescence coding, we employ the padlock probe chemistry to encode each nucleic acid target with a specific number of binding sites for two probes labeled with different fluorophores. Coupling the padlock probes with either rolling circle amplification (RCA) or hyperbranched rolling circle amplification (HRCA), we transform each nucleic acid target into a specific template that allows hybridization with the fluorescently labeled probes at predesigned ratios, thereby achieving multiplexed detection. For demonstration, we detected DNA targets from six infectious diseases and demonstrated the potential for further expanding the multiplexing capability of our approach. With further development, ratiometric fluorescence coding has the potential to enable highly multiplexed detection of nucleic acid targets and facilitate molecular diagnosis of diseases.
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Affiliation(s)
- Ye Zhang
- Department of Biomedical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States
| | - Liben Chen
- Department of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States
| | - Kuangwen Hsieh
- Department of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States
| | - Tza-Huei Wang
- Department of Biomedical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States.,Department of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States.,Institute for NanoBioTechnology , Johns Hopkins University , Baltimore , Maryland 21218 , United States
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6
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Miao Y, Xiong G, Bai M, Ge Y, Wu Z. Detection of liveSalmonella entericain fresh-cut vegetables by a TaqMan-based one-step reverse transcription real-time PCR. Lett Appl Microbiol 2018; 66:447-454. [DOI: 10.1111/lam.12871] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 02/01/2018] [Accepted: 02/20/2018] [Indexed: 12/26/2022]
Affiliation(s)
- Y.J. Miao
- Department of Food Science and Engineering; School of Marine Science; Ningbo University; Ningbo China
- Food Science Institute; Zhejiang Academy of Agricultural Science; Hangzhou China
| | - G.T. Xiong
- Department of Food Science and Engineering; School of Marine Science; Ningbo University; Ningbo China
| | - M.Y. Bai
- Department of Food Science and Engineering; School of Marine Science; Ningbo University; Ningbo China
| | - Y. Ge
- Department of Food Science and Engineering; School of Marine Science; Ningbo University; Ningbo China
| | - Z.F. Wu
- Department of Food Science and Engineering; School of Marine Science; Ningbo University; Ningbo China
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7
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Jiang Y, He L, Wu P, Shi X, Jiang M, Li Y, Lin Y, Qiu Y, Bai F, Liao Y, Li Q, Zhang R, Hu Q. Simultaneous Identification of Ten Bacterial Pathogens Using the Multiplex Ligation Reaction Based on the Probe Melting Curve Analysis. Sci Rep 2017; 7:5902. [PMID: 28724932 PMCID: PMC5517457 DOI: 10.1038/s41598-017-06348-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 06/12/2017] [Indexed: 12/17/2022] Open
Abstract
Pathogenic Vibrio spp., Aeromonas spp. and Plesiomonas shigelloides are associated with human gastroenteritis and wound infections, as well as fish diseases. The comprehensive and accurate identification of these pathogens is crucial for the current public health. The present study describes the development of a multiplex assay for the simultaneous identification of ten bacterial pathogens in a single reaction by using a multiplex ligation reaction based on probe melting curve analysis (MLMA). The specificity for target genes was 100%, as assessed with a panel of 67 bacterial pathogens, which indicated no cross-reactions. The detection limit of this assay ranged from 0.8 × 107 CFU/mL to 1.5 × 108 CFU/mL at the pure bacterial culture level and from 0.1 ng to 1.0 ng at the DNA level. The MLMA assay was used to detect ten species of pathogens in 269 clinical and seafood samples, and for further validation, the results were compared with the conventional culture method. The results indicated greater than 90% sensitivity and 100% specificity for each bacterial pathogen tested, and the kappa correlation for all the pathogens ranged from 0.95 to 1.00. Overall, this assay is well suited for public health laboratories for its high throughput, accuracy, and low cost.
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Affiliation(s)
- Yixiang Jiang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Lianhua He
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Pingfang Wu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Xiaolu Shi
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Min Jiang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Yinghui Li
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Yiman Lin
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Yaqun Qiu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Fang Bai
- School of Life Sciences, Shenzhen University, Shenzhen, 518000, Guangdong, China
| | - Yiqun Liao
- School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian Province, China
| | - Qingge Li
- School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian Province, China
| | - RenLi Zhang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China
| | - Qinghua Hu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518020, China. .,School of Life Sciences, Shenzhen University, Shenzhen, 518000, Guangdong, China.
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8
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Takahashi M, Kita Y, Mizuno A, Goto-Yamamoto N. Evaluation of method bias for determining bacterial populations in bacterial community analyses. J Biosci Bioeng 2017; 124:476-486. [PMID: 28601609 DOI: 10.1016/j.jbiosc.2017.05.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 05/11/2017] [Accepted: 05/15/2017] [Indexed: 02/07/2023]
Abstract
Various methods are used for analyzing a bacterial community. We recently developed a method for quantifying each bacterium constituting the microbiota by combining a next-generation sequencing (NGS) analysis with a quantitative polymerase chain reaction (NGS-qPCR) assay. Our NGS-qPCR method is useful for analyzing a comprehensive bacterial community because it is enables the easy calculation of the amounts of each bacterium constituting the microbiota. However, it has not been confirmed whether the estimated bacterial community obtained using this NGS-qPCR method corresponds to the results obtained using conventional methods. Accordingly, we prepared model bacterial community samples and analyzed them by several methods (NGS-qPCR, species-specific qPCR, flow cytometry, total direct counting by epifluorescent microscopy [TDC], and plate count). The total bacterial cell densities determined by the PCR-based methods were largely consistent with those determined by the TDC method. There was a difference between the amounts of each bacterium analyzed by NGS-qPCR and species-specific qPCR, although the same trend was shown by both species-specific qPCR and NGS-qPCR. Our findings also demonstrated that there is a strong positive correlation between the cell densities of a specific bacterial group in craft beer samples determined by group-specific qPCR and NGS-qPCR, and there were no significant differences among quantification methods (we tested two bacterial groups: lactic acid bacteria and acetic acid bacteria). Thus, the NGS-qPCR method is a practical method for analyzing a comprehensive bacterial community based on a bacterial cell density.
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Affiliation(s)
- Masayuki Takahashi
- National Research Institute of Brewing (NRIB), 3-7-1 Kagamiyama, Higashi-Hiroshima 739-0046, Japan.
| | - Yasuko Kita
- National Research Institute of Brewing (NRIB), 3-7-1 Kagamiyama, Higashi-Hiroshima 739-0046, Japan
| | - Akihiro Mizuno
- National Research Institute of Brewing (NRIB), 3-7-1 Kagamiyama, Higashi-Hiroshima 739-0046, Japan
| | - Nami Goto-Yamamoto
- National Research Institute of Brewing (NRIB), 3-7-1 Kagamiyama, Higashi-Hiroshima 739-0046, Japan
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9
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Wang X, Ying S, Wei X, Yuan J. Development of a gold nanoparticle-based universal oligonucleotide microarray for multiplex and low-cost detection of foodborne pathogens. Int J Food Microbiol 2017; 253:66-74. [PMID: 28505584 DOI: 10.1016/j.ijfoodmicro.2017.05.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 05/04/2017] [Accepted: 05/08/2017] [Indexed: 01/16/2023]
Abstract
Bacterial foodborne diseases remain major threats to food safety and public health, especially in developing countries. In this study a novel assay, combining gold nanoparticle (GNP)-based multiplex oligonucleotide ligation-PCR and universal oligonucleotide microarray technology, was developed for inexpensive, specific, sensitive, and multiplex detection of eight common foodborne pathogens, including Shigella spp., Campylobacter jejuni, Bacillus cereus, Escherichia coli O157:H7, Listeria monocytogenes, Salmonella enterica, Staphylococcus aureus, and Vibrio parahaemolyticus. The target fragments of the eight pathogens were enriched by multiplex PCR and subjected to multiplex ligase detection reaction. Ligation products were enriched and labeled with GNPs by universal asymmetric PCR, using excess GNP-conjugated primers. The labeled single-stranded amplicons containing complementary tag sequences were captured by the corresponding tag sequences immobilized on microarrays, followed by silver staining for signal enhancement. Black images of microarray spots were visualized by naked eyes or scanned on a simple flatbed scanner, and quantified. The results indicated that this assay could unambiguously discriminate all eight pathogens in single and multiple infections, with detection sensitivity of 3.3-85CFU/mL for pure cultures. Microarray results of ninety-five artificially contaminated and retail food samples were consistent with traditional culture, biochemical and real-time PCR findings. Therefore, the novel assay has the potential to be used for routine detection due to rapidity, low cost, and high specificity and sensitivity.
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Affiliation(s)
- Xiaoqiang Wang
- Xi'an Center for Disease Control and Prevention, 599 Xiying Road, Xi'an 710054, China.
| | - Sisi Ying
- Xi'an Center for Disease Control and Prevention, 599 Xiying Road, Xi'an 710054, China
| | - Xiaoguang Wei
- Xi'an Center for Disease Control and Prevention, 599 Xiying Road, Xi'an 710054, China
| | - Jun Yuan
- Xi'an Center for Disease Control and Prevention, 599 Xiying Road, Xi'an 710054, China
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10
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Nishimura T, Ogura Y, Tanida J. Multiplexed fluorescence readout using time responses of color coded signals for biomolecular detection. BIOMEDICAL OPTICS EXPRESS 2016; 7:5284-5293. [PMID: 28018742 PMCID: PMC5175569 DOI: 10.1364/boe.7.005284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 11/02/2016] [Accepted: 11/18/2016] [Indexed: 05/05/2023]
Abstract
Fluorescence readout is an important technique for detecting biomolecules. In this paper, we present a multiplexed fluorescence readout method using time varied fluorescence signals. To generate the fluorescence signals, coded strands and a set of universal molecular beacons are introduced. Each coded strand represents the existence of an assigned target molecule. The coded strands have coded sequences to generate temporary fluorescence signals through binding to the molecular beacons. The signal generating processes are modeled based on the reaction kinetics between the coded strands and molecular beacons. The model is used to decode the detected fluorescence signals using maximum likelihood estimation. Multiplexed fluorescence readout was experimentally demonstrated with three molecular beacons. Numerical analysis showed that the readout accuracy was enhanced by the use of time-varied fluorescence signals.
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11
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Mangal M, Bansal S, Sharma SK, Gupta RK. Molecular Detection of Foodborne Pathogens: A Rapid and Accurate Answer to Food Safety. Crit Rev Food Sci Nutr 2015; 56:1568-84. [DOI: 10.1080/10408398.2013.782483] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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12
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Gokulakrishnan P, Vergis J. Molecular methods for microbiological quality control of meat and meat products: a review. Crit Rev Food Sci Nutr 2014; 55:1315-9. [PMID: 24915322 DOI: 10.1080/10408398.2012.691127] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Achieving food safety is a global health goal and the food-borne diseases take a major check on global health. Therefore, detection of microbial pathogens in food is the solution to the prevention and recognition of problems related to health and safety. Conventional and standard bacterial detection methods such as culture and colony counting methods and immunology-based methods may take up to several hours or even a few days to yield a result. Obviously, this is inadequate, and recently many researchers are focusing towards the progress of rapid diagnostic methods. The advent of molecular techniques has led to the development of a diverse array of assay for quality control of meat and meat products. Rapid analysis using DNA hybridization and amplification techniques offer more sensitivity and specificity to get results than culture based methods as well as dramatic reduction in the time to get results. Many methods have also achieved the high level automation, facilitating their application as routine sample screening assays. This review is intended to provide an overview of the molecular methods for microbiological quality control of meat and meat products.
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Affiliation(s)
- P Gokulakrishnan
- a Division of Livestock Products Technology , Indian Veterinary Research Institute , Izatnagar, Bareilly , UP , India
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13
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Simultaneous detection of five enteric viruses associated with gastroenteritis by use of a PCR assay: a single real-time multiplex reaction and its clinical application. J Clin Microbiol 2014; 52:1266-8. [PMID: 24478418 DOI: 10.1128/jcm.00245-14] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
We developed a highly sensitive reverse transcription and multiplex real-time PCR (rtPCR) assay that can identify five viruses, including six genogroups, in a single reaction: norovirus genogroups I and II; sapovirus genogroups I, II, IV, and V; human rotavirus A; adenovirus serotypes 40 and 41; and human astrovirus. In comparison to monoplex rtPCR assays, the sensitivities and specificities of the multiplex rtPCR ranged from 75% to 100% and from 99% to 100%, respectively, evaluated on 812 clinical stool specimens.
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14
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Hu Q, Lyu D, Shi X, Jiang Y, Lin Y, Li Y, Qiu Y, He L, Zhang R, Li Q. A modified molecular beacons-based multiplex real-time PCR assay for simultaneous detection of eight foodborne pathogens in a single reaction and its application. Foodborne Pathog Dis 2013; 11:207-14. [PMID: 24328501 DOI: 10.1089/fpd.2013.1607] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Foodborne disease outbreaks are often caused by one of the major pathogens. Early identification of the causal pathogen is crucial for disease control and prevention. We describe a real-time polymerase chain reaction (rtPCR) assay that can identify, in a single reaction, up to eight common foodborne bacterial pathogens, including Salmonella enterica subsp. enterica, Listeria monocytogenes, Escherichia coli O157, Vibrio parahaemolyticus, V. vulnificus, Campylobacter jejuni, Enterobacter sakazakii, and Shigella spp. This multiplex rtPCR assay takes advantage of modified molecular beacons and the multicolor combinational probe coding strategy to discriminate each pathogen and the homo-tag assisted non-dimer (HAND) system to prevent dimer formation. The detection limits of the assay ranged from 1.3×10(3) colony-forming units (CFU)/g stool (L. monocytogenes) to 1.6×10(4) CFU/g stool (Shigella spp.). The target genes were 100% specific as assessed on 986 reference strains covering 41 species since no cross-reactions were observed. The assay was applied to the detection of foodborne pathogens in 11,167 clinical samples and the results were compared with culture methods for further validation. The sensitivity and specificity of the rtPCR were 100% and 99%, respectively. When performed in a 96-well rtPCR system, more than 90 samples could be analyzed within 3 h. Given the high accuracy, sensitivity, specificity, and short turn-around time, the established assay could be used for the rapid and reliable identification of the causative pathogens responsible for a certain foodborne disease outbreak and rapid screening of these major foodborne pathogens in laboratory-based surveillance of outpatient clinical samples or even food samples.
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Affiliation(s)
- Qinghua Hu
- 1 Shenzhen Centre for Disease Control and Prevention , Shenzhen, Guangdong, China
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15
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Rajagopal A, Scherer A, Homyk A, Kartalov E. Supercolor coding methods for large-scale multiplexing of biochemical assays. Anal Chem 2013; 85:7629-36. [PMID: 23763357 DOI: 10.1021/ac401304t] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We present a novel method for the encoding and decoding of multiplexed biochemical assays. The method enables a theoretically unlimited number of independent targets to be detected and uniquely identified in any combination in the same sample. For example, the method offers easy access to 12-plex and larger PCR assays, as contrasted to the current 4-plex assays. This advancement would allow for large panels of tests to be run simultaneously in the same sample, saving reagents, time, consumables, and manual labor, while also avoiding the traditional loss of sensitivity due to sample aliquoting. Thus, the presented method is a major technological breakthrough with far-reaching impact on biotechnology, biomedical science, and clinical diagnostics. Herein, we present the mathematical theory behind the method as well as its experimental proof of principle using Taqman PCR on sequences specific to infectious diseases.
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Affiliation(s)
- Aditya Rajagopal
- California Institute of Technology, Department of Electrical Engineering, Pasadena, California 91125, United States.
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16
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Roda A, Mirasoli M, Roda B, Bonvicini F, Colliva C, Reschiglian P. Recent developments in rapid multiplexed bioanalytical methods for foodborne pathogenic bacteria detection. Mikrochim Acta 2012. [DOI: 10.1007/s00604-012-0824-3] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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17
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Abstract
Recent technical advances have begun to realize the potential of molecular beacons to test for diverse infections in clinical diagnostic laboratories. These include the ability to test for, and quantify, multiple pathogens in the same clinical sample, and to detect antibiotic resistant strains within hours. The design principles of molecular beacons have also spawned a variety of allied technologies.
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Affiliation(s)
- Sanjay Tyagi
- Public Health Research Institute, New Jersey Medical School, University of Medicine and Dentistry of New Jersey225 Warren Street, Newark, NJ 07103USA
| | - Fred Russell Kramer
- Public Health Research Institute, New Jersey Medical School, University of Medicine and Dentistry of New Jersey225 Warren Street, Newark, NJ 07103USA
- Department of Microbiology and Molecular Genetics, New Jersey Medical School, University of Medicine and Dentistry of New Jersey225 Warren Street, Newark, NJ 07103USA
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18
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Huang Q, Zheng L, Zhu Y, Zhang J, Wen H, Huang J, Niu J, Zhao X, Li Q. Multicolor combinatorial probe coding for real-time PCR. PLoS One 2011; 6:e16033. [PMID: 21264249 PMCID: PMC3021529 DOI: 10.1371/journal.pone.0016033] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2010] [Accepted: 12/06/2010] [Indexed: 11/19/2022] Open
Abstract
The target volume of multiplex real-time PCR assays is limited by the number of fluorescent dyes available and the number of fluorescence acquisition channels present in the PCR instrument. We hereby explored a probe labeling strategy that significantly increased the target volume of real-time PCR detection in one reaction. The labeling paradigm, termed "Multicolor Combinatorial Probe Coding" (MCPC), uses a limited number (n) of differently colored fluorophores in various combinations to label each probe, enabling one of 2(n)-1 genetic targets to be detected in one reaction. The proof-of-principle of MCPC was validated by identification of one of each possible 15 human papillomavirus types, which is the maximum target number theoretically detectable by MCPC with a 4-color channel instrument, in one reaction. MCPC was then improved from a one-primer-pair setting to a multiple-primer-pair format through Homo-Tag Assisted Non-Dimer (HAND) system to allow multiple primer pairs to be included in one reaction. This improvement was demonstrated via identification of one of the possible 10 foodborne pathogen candidates with 10 pairs of primers included in one reaction, which had limit of detection equivalent to the uniplex PCR. MCPC was further explored in detecting combined genotypes of five β-globin gene mutations where multiple targets were co-amplified. MCPC strategy could expand the scope of real-time PCR assays in applications which are unachievable by current labeling strategy.
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Affiliation(s)
- Qiuying Huang
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, Department of Biomedical Sciences and the Key Laboratory of Cell Biology and Tumor Cell Engineering of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, China
| | - Linlin Zheng
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, Department of Biomedical Sciences and the Key Laboratory of Cell Biology and Tumor Cell Engineering of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yumei Zhu
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, Department of Biomedical Sciences and the Key Laboratory of Cell Biology and Tumor Cell Engineering of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jiafeng Zhang
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, Department of Biomedical Sciences and the Key Laboratory of Cell Biology and Tumor Cell Engineering of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, China
| | - Huixin Wen
- Department of Microbiology, Xiamen Centre for Disease Control and Prevention, Xiamen, China
| | - Jianwei Huang
- Department of Microbiology, Xiamen Centre for Disease Control and Prevention, Xiamen, China
| | - Jianjun Niu
- Department of Microbiology, Xiamen Centre for Disease Control and Prevention, Xiamen, China
| | - Xilin Zhao
- Public Health Research Institute, New Jersey Medical School, University of Medicine and Dentistry of New Jersey, Newark, New Jersey, United States of America
| | - Qingge Li
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, Department of Biomedical Sciences and the Key Laboratory of Cell Biology and Tumor Cell Engineering of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, China
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19
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Feizabadi MM, Majnooni A, Nomanpour B, Fatolahzadeh B, Raji N, Delfani S, Habibi M, Asadi S, Parvin M. Direct detection of Pseudomonas aeruginosa from patients with healthcare associated pneumonia by real time PCR. INFECTION GENETICS AND EVOLUTION 2010; 10:1247-51. [DOI: 10.1016/j.meegid.2010.08.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2010] [Revised: 08/09/2010] [Accepted: 08/13/2010] [Indexed: 11/30/2022]
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20
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Schroeder K, Nitsche A. Multicolour, multiplex real-time PCR assay for the detection of human-pathogenic poxviruses. Mol Cell Probes 2009; 24:110-3. [PMID: 19879351 DOI: 10.1016/j.mcp.2009.10.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2009] [Revised: 10/15/2009] [Accepted: 10/22/2009] [Indexed: 10/20/2022]
Abstract
After eradication of variola virus, one of the most dangerous infectious diseases affecting mankind, today other poxviruses of different genera can cause infection in humans. These viruses include human-specific molluscipoxviruses as well as zoonotic orthopoxviruses and parapoxviruses. While non-variola orthopoxvirus infections mostly cause mild symptoms in immunocompetent persons, they can evoke severe disease in immunocompromised patients. Since the typical poxviral skin lesions are rarely diagnosed by physicians, PCR-based identification of suspected poxviruses is often required. To simplify the PCR-based diagnosis of human-pathogenic poxviruses, we established a multicolour multiplex real-time PCR that simultaneously detects and differentiates human-pathogenic poxviruses in one reaction. Using 5' nuclease probes labelled with FAM for orthopoxviruses, VIC for parapoxviruses and FAM and VIC for molluscipoxviruses, respectively, amplification of poxviral DNA resulted in a genus-specific reporter-dye profile. Validation with 36 human clinical specimens and DNA of pathogens causing pox-like skin lesions demonstrated the specificity of the assay. Probit analysis revealed a limit of detection of 9.7, 22.08 and 28.1 copies/assay (95% CI) for molluscipoxvirus, orthopoxvirus and parapoxvirus DNA, respectively. The combinatorial multicolour strategy applied has the potential to be used in further applications targeting even more than three pathogens.
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Affiliation(s)
- Kati Schroeder
- Robert Koch-Institut, Centre for Biological Safety 1, Nordufer 20, 13353 Berlin, Germany
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Quadruplex real-time PCR assay for detection and identification of Vibrio cholerae O1 and O139 strains and determination of their toxigenic potential. Appl Environ Microbiol 2009; 75:6981-5. [PMID: 19767462 DOI: 10.1128/aem.00517-09] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Vibrio cholerae is a natural inhabitant of the aquatic environment. However, its toxigenic strains can cause potentially life-threatening diarrhea. A quadruplex real-time PCR assay targeting four genes, the cholera toxin gene (ctxA), the hemolysin gene (hlyA), O1-specific rfb, and O139-specific rfb, was developed for detection and differentiation of O1, O139, and non-O1, non-O139 strains and for prediction of their toxigenic potential. The specificity of the assay was 100% when tested against 70 strains of V. cholerae and 31 strains of non-V. cholerae organisms. The analytical sensitivity for detection of toxigenic V. cholerae O1 and O139 was 2 CFU per reaction with cells from pure culture. When the assay was tested with inoculated water from bullfrog feeding ponds, 10 CFU/ml could reliably be detected after culture for 3 h. The assay was more sensitive than the immunochromatographic assay and culture method when tested against 89 bullfrog samples and 68 water samples from bullfrog feeding ponds. The applicability of this assay was confirmed in a case study involving 15 bullfrog samples, from which two mixtures of nontoxigenic O1 and toxigenic non-O1/non-O139 strains were detected and differentiated. These data indicate that the quadruplex real-time PCR assay can both rapidly and accurately detect/identify V. cholerae and reliably predict the toxigenic potential of strains detected.
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